Preprocessing Time Series Data for Classification with Application to CRM. - Yiming Yang; Qiang Yang 001; Wei Lu; Sinno Jialin Pan; Rong Pan; Chenhui Lu; Lei Li 022; Zhenxing Qin (Australian Conference on Artificial Intelligence, 2005)

Adaptive Localization in a Dynamic WiFi Environment through Multi-view Learning. - Sinno Jialin Pan; James T. Kwok; Qiang Yang 001; Jeffrey Junfeng Pan (AAAI, 2007)

Online Co-Localization in Indoor Wireless Networks by Dimension Reduction. - Jeffrey Junfeng Pan; Qiang Yang 001; Sinno Jialin Pan (AAAI, 2007)

Domain-constrained semi-supervised mining of tracking models in sensor networks. - Rong Pan; Junhui Zhao; Vincent Wenchen Zheng; Jeffrey Junfeng Pan; Dou Shen; Sinno Jialin Pan; Qiang Yang 001 (KDD, 2007)

Mining competent case bases for case-based reasoning. - Rong Pan; Qiang Yang 001; Sinno Jialin Pan (Artif. Intell., 2007)

Transfer Learning via Dimensionality Reduction. - Sinno Jialin Pan; James T. Kwok; Qiang Yang 001 (AAAI, 2008)

Transferring Localization Models across Space. - Sinno Jialin Pan; Dou Shen; Qiang Yang 001; James T. Kwok (AAAI, 2008)

Transferring Multi-device Localization Models using Latent Multi-task Learning. - Vincent Wenchen Zheng; Sinno Jialin Pan; Qiang Yang 001; Jeffrey Junfeng Pan (AAAI, 2008)

Real world activity recognition with multiple goals. - Derek Hao Hu; Sinno Jialin Pan; Vincent Wenchen Zheng; Nathan Nan Liu; Qiang Yang 001 (UbiComp, 2008)

Digital Wall: A Power-efficient Solution for Location-based Data Sharing. - Jeffrey Junfeng Pan; Sinno Jialin Pan; Vincent Wenchen Zheng; Qiang Yang 001 (PerCom, 2008)

Estimating Location Using Wi-Fi. - Qiang Yang 001; Sinno Jialin Pan; Vincent Wenchen Zheng (IEEE Intell. Syst., 2008)

Knowledge Transfer among Heterogeneous Information Networks. - Evan Wei Xiang; Nathan Nan Liu; Sinno Jialin Pan; Qiang Yang 001 (ICDM Workshops, 2009)

Adaptive Transfer Learning. - Bin Cao 001; Sinno Jialin Pan; Yu Zhang 006; Dit-Yan Yeung; Qiang Yang 001 (AAAI, 2010)

Cross-domain sentiment classification via spectral feature alignment. - Sinno Jialin Pan; Xiaochuan Ni 001; Jian-Tao Sun; Qiang Yang 001; Zheng Chen 001 (WWW, 2010)

A Survey on Transfer Learning. - Sinno Jialin Pan; Qiang Yang 001 (IEEE Trans. Knowl. Data Eng., 2010)

Heterogeneous Transfer Learning for Image Classification. - Yin Zhu; Yuqiang Chen; Zhongqi Lu; Sinno Jialin Pan; Gui-Rong Xue; Yong Yu 001; Qiang Yang 001 (AAAI, 2011)

Artificial neural network based intracranial pressure mean forecast algorithm for medical decision support. - Feng Zhang; Mengling Feng; Sinno Jialin Pan; Liang Yu Loy; Wenyuan Guo; Zhuo Zhang 001; Pei Loon Chin; Cuntai Guan; Nicolas Kon Kam King; Beng Ti Ang (EMBC, 2011)

Source-Selection-Free Transfer Learning. - Evan Wei Xiang; Sinno Jialin Pan; Weike Pan; Jian Su 002; Qiang Yang 001 (IJCAI, 2011)

A Unified Event Coreference Resolution by Integrating Multiple Resolvers. - Bin Chen; Jian Su 002; Sinno Jialin Pan; Chew Lim Tan (IJCNLP, 2011)

Multitask Learning for Protein Subcellular Location Prediction. - Qian Xu 005; Sinno Jialin Pan; Hannah Hong Xue; Qiang Yang 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2011)

Domain Adaptation via Transfer Component Analysis. - Sinno Jialin Pan; Ivor W. Tsang; James T. Kwok; Qiang Yang 001 (IEEE Trans. Neural Networks, 2011)

Cross-Domain Co-Extraction of Sentiment and Topic Lexicons. - Fangtao Li; Sinno Jialin Pan; Ou Jin; Qiang Yang 001; Xiaoyan Zhu (ACL (1), 2012)

Multi-domain active learning for text classification. - Lianghao Li; Xiaoming Jin; Sinno Jialin Pan; Jian-Tao Sun (KDD, 2012)

Multi-view Positive and Unlabeled Learning. - Joey Tianyi Zhou; Sinno Jialin Pan; Qi Mao 001; Ivor W. Tsang (ACML, 2012)

Tracking Mobile Users in Wireless Networks via Semi-Supervised Colocalization. - Jeffrey Junfeng Pan; Sinno Jialin Pan; Jie Yin 001; Lionel M. Ni; Qiang Yang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2012)

Active Transfer Learning for Cross-System Recommendation. - Lili Zhao; Sinno Jialin Pan; Evan Wei Xiang; Erheng Zhong; Zhongqi Lu; Qiang Yang 001 (AAAI, 2013)

Graph-based informative-sentence selection for opinion summarization. - Linhong Zhu; Sheng Gao; Sinno Jialin Pan; Haizhou Li 001; Dingxiong Deng; Cyrus Shahabi (ASONAM, 2013)

Predicting user activity level in social networks. - Yin Zhu; Erheng Zhong; Sinno Jialin Pan; Xiao Wang 018; Minzhe Zhou; Qiang Yang 001 (CIKM, 2013)

Transfer defect learning. - Jaechang Nam; Sinno Jialin Pan; Sunghun Kim 001 (ICSE, 2013)

Transfer learning with applications on text, sensors and images. - Sinno Jialin Pan (MLIS@IJCAI, 2013)

Transfer joint embedding for cross-domain named entity recognition. - Sinno Jialin Pan; Zhiqiang Toh; Jian Su 002 (ACM Trans. Inf. Syst., 2013)

Transfer Learning. - Sinno Jialin Pan (Data Classification: Algorithms and Applications, 2014)

Source Free Transfer Learning for Text Classification. - Zhongqi Lu; Yin Zhu; Sinno Jialin Pan; Evan Wei Xiang; Yujing Wang; Qiang Yang 001 (AAAI, 2014)

Hybrid Heterogeneous Transfer Learning through Deep Learning. - Joey Tianyi Zhou; Sinno Jialin Pan; Ivor W. Tsang; Yan Yan 006 (AAAI, 2014)

Heterogeneous Domain Adaptation for Multiple Classes. - Joey Tianyi Zhou; Ivor W. Tsang; Sinno Jialin Pan; Mingkui Tan (AISTATS, 2014)

Exploiting Social Relations and Sentiment for Stock Prediction. - Jianfeng Si; Arjun Mukherjee; Bing Liu 001; Sinno Jialin Pan; Qing Li 001; Huayi Li (EMNLP, 2014)

Riemannian Pursuit for Big Matrix Recovery. - Mingkui Tan; Ivor W. Tsang; Li Wang 033; Bart Vandereycken; Sinno Jialin Pan (ICML, 2014)

Transfer Learning with Multiple Sources via Consensus Regularized Autoencoders. - Fuzhen Zhuang; Xiaohu Cheng; Sinno Jialin Pan; Wenchao Yu; Qing He 003; Zhongzhi Shi (ECML/PKDD (3), 2014)

Extended Spectral Regression for efficient scene recognition. - Liyuan Li; Weixun Goh; Joo-Hwee Lim; Sinno Jialin Pan (Pattern Recognit., 2014)

Adaptation Regularization: A General Framework for Transfer Learning. - Mingsheng Long; Jianmin Wang 001; Guiguang Ding; Sinno Jialin Pan; Philip S. Yu (IEEE Trans. Knowl. Data Eng., 2014)

Semi-supervised Domain Adaptation on Manifolds. - Li Cheng 001; Sinno Jialin Pan (IEEE Trans. Neural Networks Learn. Syst., 2014)

Heterogeneous Multi-task Semantic Feature Learning for Classification. - Xin Jin 004; Fuzhen Zhuang; Sinno Jialin Pan; Changying Du; Ping Luo 001; Qing He 003 (CIKM, 2015)

Short and Sparse Text Topic Modeling via Self-Aggregation. - Xiaojun Quan; Chunyu Kit; Yong Ge; Sinno Jialin Pan (IJCAI, 2015)

Supervised Representation Learning: Transfer Learning with Deep Autoencoders. - Fuzhen Zhuang; Xiaohu Cheng; Ping Luo 001; Sinno Jialin Pan; Qing He 003 (IJCAI, 2015)

The Pareto Principle Is Everywhere: Finding Informative Sentences for Opinion Summarization Through Leader Detection. - Linhong Zhu; Sheng Gao; Sinno Jialin Pan; Haizhou Li 001; Dingxiong Deng; Cyrus Shahabi (Recommendation and Search in Social Networks, 2015)

Transfer Learning for Cross-Language Text Categorization through Active Correspondences Construction. - Joey Tianyi Zhou; Sinno Jialin Pan; Ivor W. Tsang; Shen-Shyang Ho (AAAI, 2016)

Automated design evaluation on layout of Piping and Instrumentation Diagram using Histogram of Connectivity. - Wei-Chian Tan; I-Ming Chen; Sinno Jialin Pan; Hoon Kiang Tan (CASE, 2016)

Ensemble of Anchor Adapters for Transfer Learning. - Fuzhen Zhuang; Ping Luo 001; Sinno Jialin Pan; Hui Xiong 001; Qing He 003 (CIKM, 2016)

Recursive Neural Conditional Random Fields for Aspect-based Sentiment Analysis. - Wenya Wang 001; Sinno Jialin Pan; Daniel Dahlmeier; Xiaokui Xiao (EMNLP, 2016)

Class-Wise Supervised Hashing with Label Embedding and Active Bits. - Long-Kai Huang; Sinno Jialin Pan (IJCAI, 2016)

Collaborative Evolution for User Profiling in Recommender Systems. - Zhongqi Lu; Sinno Jialin Pan; Yong Li 038; Jie Jiang 015; Qiang Yang 001 (IJCAI, 2016)

Matrix Factorization+ for Movie Recommendation. - Lili Zhao; Zhongqi Lu; Sinno Jialin Pan; Qiang Yang 001 (IJCAI, 2016)

Transfer Hashing with Privileged Information. - Joey Tianyi Zhou; Xinxing Xu; Sinno Jialin Pan; Ivor W. Tsang; Zheng Qin 004; Rick Siow Mong Goh (IJCAI, 2016)

HYDRA: Massively Compositional Model for Cross-Project Defect Prediction. - Xin Xia 001; David Lo 001; Sinno Jialin Pan; Nachiappan Nagappan; Xinyu Wang 001 (IEEE Trans. Software Eng., 2016)

Distant Domain Transfer Learning. - Ben Tan; Yu Zhang 006; Sinno Jialin Pan; Qiang Yang 001 (AAAI, 2017)

Coupled Multi-Layer Attentions for Co-Extraction of Aspect and Opinion Terms. - Wenya Wang 001; Sinno Jialin Pan; Daniel Dahlmeier; Xiaokui Xiao (AAAI, 2017)

Knowledge Transfer for Deep Reinforcement Learning with Hierarchical Experience Replay. - Haiyan Yin; Sinno Jialin Pan (AAAI, 2017)

Adaptive Group Sparse Multi-task Learning via Trace Lasso. - Sulin Liu; Sinno Jialin Pan (IJCAI, 2017)

WOLoc: WiFi-only outdoor localization using crowdsensed hotspot labels. - Jin Wang 018; Nicholas Tan; Jun Luo 001; Sinno Jialin Pan (INFOCOM, 2017)

Distributed Multi-Task Relationship Learning. - Sulin Liu; Sinno Jialin Pan; Qirong Ho (KDD, 2017)

Learning to Prune Deep Neural Networks via Layer-wise Optimal Brain Surgeon. - Xin Dong 009; Shangyu Chen; Sinno Jialin Pan (NIPS, 2017)

CeilingSee: Device-free occupancy inference through lighting infrastructure based LED sensing. - Yanbing Yang; Jie Hao; Jun Luo 001; Sinno Jialin Pan (PerCom, 2017)

Communication-Efficient Distributed Primal-Dual Algorithm for Saddle Point Problem. - Yaodong Yu; Sulin Liu; Sinno Jialin Pan (UAI, 2017)

A unified framework of active transfer learning for cross-system recommendation. - Lili Zhao; Sinno Jialin Pan; Qiang Yang 001 (Artif. Intell., 2017)

Multi-task Coupled Attentions for Category-specific Aspect and Opinion Terms Co-extraction. - Wenya Wang 001; Sinno Jialin Pan; Daniel Dahlmeier (CoRR, 2017)

Hashing Over Predicted Future Frames for Informed Exploration of Deep Reinforcement Learning. - Haiyan Yin; Sinno Jialin Pan (CoRR, 2017)

A Unified Framework for Metric Transfer Learning. - Yonghui Xu; Sinno Jialin Pan; Hui Xiong 001; Qingyao Wu; Ronghua Luo; Huaqing Min; Hengjie Song (IEEE Trans. Knowl. Data Eng., 2017)

Sensor-Based Activity Recognition via Learning From Distributions. - Hangwei Qian; Sinno Jialin Pan; Chunyan Miao (AAAI, 2018)

Data Poisoning Attacks on Multi-Task Relationship Learning. - Mengchen Zhao; Bo An 001; Yaodong Yu; Sulin Liu; Sinno Jialin Pan (AAAI, 2018)

SC2Net: Sparse LSTMs for Sparse Coding. - Joey Tianyi Zhou; Kai Di; Jiawei Du; Xi Peng 001; Hao Yang 033; Sinno Jialin Pan; Ivor W. Tsang; Yong Liu 026; Zheng Qin 004; Rick Siow Mong Goh (AAAI, 2018)

Recursive Neural Structural Correspondence Network for Cross-domain Aspect and Opinion Co-Extraction. - Wenya Wang 001; Sinno Jialin Pan (ACL (1), 2018)

Transfer Learning with PipNet: For Automated Visual Analysis of Piping Design. - Wei-Chian Tan; I-Ming Chen; Dimitrios Pantazis; Sinno Jialin Pan (CASE, 2018)

Domain Generalization With Adversarial Feature Learning. - Haoliang Li; Sinno Jialin Pan; Shiqi Wang 001; Alex C. Kot (CVPR, 2018)

Domain Adaptive Semantic Segmentation Through Structure Enhancement. - Fengmao Lv; Qing Lian; Guowu Yang; Guosheng Lin; Sinno Jialin Pan; Lixin Duan (ECCV Workshops (2), 2018)

Transition-based Adversarial Network for Cross-lingual Aspect Extraction. - Wenya Wang 001; Sinno Jialin Pan (IJCAI, 2018)

Hashing over Predicted Future Frames for Informed Exploration of Deep Reinforcement Learning. - Haiyan Yin; Jianda Chen; Sinno Jialin Pan (IJCAI, 2018)

Memory networks for fine-grained opinion mining. - Wenya Wang 001; Sinno Jialin Pan; Daniel Dahlmeier (Artif. Intell., 2018)

Counting via LED sensing: Inferring occupancy using lighting infrastructure. - Yanbing Yang; Jun Luo 001; Jie Hao; Sinno Jialin Pan (Pervasive Mob. Comput., 2018)

Analysis With Histogram of Connectivity: For Automated Evaluation of Piping Layout. - Wei-Chian Tan; I-Ming Chen; Sinno Jialin Pan; Hoon Kiang Tan (IEEE Trans Autom. Sci. Eng., 2018)

Supervised Representation Learning with Double Encoding-Layer Autoencoder for Transfer Learning. - Fuzhen Zhuang; Xiaohu Cheng; Ping Luo 001; Sinno Jialin Pan; Qing He 003 (ACM Trans. Intell. Syst. Technol., 2018)

Deep Neural Network Quantization via Layer-Wise Optimization Using Limited Training Data. - Shangyu Chen; Wenya Wang 001; Sinno Jialin Pan (AAAI, 2019)

Heterogeneous Transfer Learning via Deep Matrix Completion with Adversarial Kernel Embedding. - Haoliang Li; Sinno Jialin Pan; Renjie Wan; Alex C. Kot (AAAI, 2019)

Distribution-Based Semi-Supervised Learning for Activity Recognition. - Hangwei Qian; Sinno Jialin Pan; Chunyan Miao (AAAI, 2019)

Transferable Interactive Memory Network for Domain Adaptation in Fine-Grained Opinion Extraction. - Wenya Wang 001; Sinno Jialin Pan (AAAI, 2019)

Accelerate Learning of Deep Hashing With Gradient Attention. - Long-Kai Huang; Jianda Chen; Sinno Jialin Pan (ICCV, 2019)

Cooperative Pruning in Cross-Domain Deep Neural Network Compression. - Shangyu Chen; Wenya Wang 001; Sinno Jialin Pan (IJCAI, 2019)

A Novel Distribution-Embedded Neural Network for Sensor-Based Activity Recognition. - Hangwei Qian; Sinno Jialin Pan; Bingshui Da; Chunyan Miao (IJCAI, 2019)

MetaQuant: Learning to Quantize by Learning to Penetrate Non-differentiable Quantization. - Shangyu Chen; Wenya Wang 001; Sinno Jialin Pan (NeurIPS, 2019)

A deep learning framework for Hybrid Heterogeneous Transfer Learning. - Joey Tianyi Zhou; Sinno Jialin Pan; Ivor W. Tsang (Artif. Intell., 2019)

Syntactically Meaningful and Transferable Recursive Neural Networks for Aspect and Opinion Extraction. - Wenya Wang 001; Sinno Jialin Pan (Comput. Linguistics, 2019)

Multi-class Heterogeneous Domain Adaptation. - Joey Tianyi Zhou; Ivor W. Tsang; Sinno Jialin Pan; Mingkui Tan (J. Mach. Learn. Res., 2019)

Learning-Based Outdoor Localization Exploiting Crowd-Labeled WiFi Hotspots. - Jin Wang 018; Jun Luo 001; Sinno Jialin Pan; Aixin Sun (IEEE Trans. Mob. Comput., 2019)

Transfer Value Iteration Networks. - Junyi Shen; Hankz Hankui Zhuo; Jin Xu; Bin Zhong; Sinno Jialin Pan (AAAI, 2020)

Integrating Deep Learning with Logic Fusion for Information Extraction. - Wenya Wang 001; Sinno Jialin Pan (AAAI, 2020)

Deep Weighted MaxSAT for Aspect-based Opinion Extraction. - Meixi Wu; Wenya Wang 001; Sinno Jialin Pan (EMNLP (1), 2020)

Communication-Efficient Distributed PCA by Riemannian Optimization. - Long-Kai Huang; Sinno Jialin Pan (ICML, 2020)

Storage Efficient and Dynamic Flexible Runtime Channel Pruning via Deep Reinforcement Learning. - Jianda Chen; Shangyu Chen; Sinno Jialin Pan (NeurIPS, 2020)

Reinforcement Learning with Efficient Active Feature Acquisition. - Haiyan Yin; Yingzhen Li; Sinno Jialin Pan; Cheng Zhang 005; Sebastian Tschiatschek (CoRR, 2020)

Communication-efficient distributed multi-task learning with matrix sparsity regularization. - Qiang Zhou; Yu Chen; Sinno Jialin Pan (Mach. Learn., 2020)

Heterogeneous Domain Adaptation via Nonlinear Matrix Factorization. - Haoliang Li; Sinno Jialin Pan; Shiqi Wang 001; Alex C. Kot (IEEE Trans. Neural Networks Learn. Syst., 2020)

Towards Faster Deep Collaborative Filtering via Hierarchical Decision Networks. - Yu Chen; Sinno Jialin Pan (AAAI, 2021)

Latent Independent Excitation for Generalizable Sensor-based Cross-Person Activity Recognition. - Hangwei Qian; Sinno Jialin Pan; Chunyan Miao (AAAI, 2021)

Sequential Generative Exploration Model for Partially Observable Reinforcement Learning. - Haiyan Yin; Jianda Chen; Sinno Jialin Pan; Sebastian Tschiatschek (AAAI, 2021)

AdaRNN: Adaptive Learning and Forecasting of Time Series. - Yuntao Du 001; Jindong Wang 001; Wenjie Feng 001; Sinno Jialin Pan; Tao Qin 001; Renjun Xu; Chongjun Wang (CIKM, 2021)

EnhanceNet: Plugin Neural Networks for Enhancing Correlated Time Series Forecasting. - Razvan-Gabriel Cirstea; Tung Kieu; Chenjuan Guo; Bin Yang 002; Sinno Jialin Pan (ICDE, 2021)

Mitigating Performance Saturation in Neural Marked Point Processes: Architectures and Loss Functions. - Tianbo Li; Tianze Luo; Yiping Ke; Sinno Jialin Pan (KDD, 2021)

Learning an Adaptive Meta Model-Generator for Incrementally Updating Recommender Systems. - Danni Peng; Sinno Jialin Pan; Jie Zhang 002; Anxiang Zeng (RecSys, 2021)

Weakly-supervised sensor-based activity segmentation and recognition via learning from distributions. - Hangwei Qian; Sinno Jialin Pan; Chunyan Miao (Artif. Intell., 2021)

Variational Deep Logic Network for Joint Inference of Entities and Relations. - Wenya Wang 001; Sinno Jialin Pan (Comput. Linguistics, 2021)

Weakly-Supervised Cross-Domain Road Scene Segmentation via Multi-Level Curriculum Adaptation. - Fengmao Lv; Guosheng Lin; Peng Liu 049; Guowu Yang; Sinno Jialin Pan; Lixin Duan (IEEE Trans. Circuits Syst. Video Technol., 2021)

Deep Inductive Logic Reasoning for Multi-Hop Reading Comprehension. - Wenya Wang 001; Sinno Jialin Pan (ACL (1), 2022)

Learning Generalizable Representations for Reinforcement Learning via Adaptive Meta-learner of Behavioral Similarities. - Jianda Chen; Sinno Jialin Pan (ICLR, 2022)

Modeling Trajectories with Multi-task Learning. - Kaijun Liu; Sijie Ruan; Qianxiong Xu; Cheng Long 001; Nan Xiao 001; Nan Hu; Liang Yu 005; Sinno Jialin Pan (MDM, 2022)

Domain Confused Contrastive Learning for Unsupervised Domain Adaptation. - Quanyu Long; Tianze Luo; Wenya Wang 001; Sinno Jialin Pan (NAACL-HLT, 2022)

Learning Representations via a Robust Behavioral Metric for Deep Reinforcement Learning. - Jianda Chen; Sinno Jialin Pan (NeurIPS, 2022)

Convergence Analysis of Linear Coupling with Inexact Proximal Operator. - Qiang Zhou; Sinno Jialin Pan (UAI, 2022)

Learning Gradient-based Mixup towards Flatter Minima for Domain Generalization. - Danni Peng; Sinno Jialin Pan (CoRR, 2022)

Semantic-Discriminative Mixup for Generalizable Sensor-based Cross-domain Activity Recognition. - Wang Lu; Jindong Wang 001; Yiqiang Chen 001; Sinno Jialin Pan; Chunyu Hu 001; Xin Qin (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2022)

On Acceleration for Convex Composite Minimization with Noise-Corrupted Gradients and Approximate Proximal Mapping. - Qiang Zhou; Sinno Jialin Pan (J. Mach. Learn. Res., 2022)

Bidirectional Generative Framework for Cross-domain Aspect-based Sentiment Analysis. - Yue Deng 010; Wenxuan Zhang 001; Sinno Jialin Pan; Lidong Bing (ACL (1), 2023)

SOUL: Towards Sentiment and Opinion Understanding of Language. - Yue Deng 010; Wenxuan Zhang 001; Sinno Jialin Pan; Lidong Bing (EMNLP, 2023)

Adapt in Contexts: Retrieval-Augmented Domain Adaptation via In-Context Learning. - Quanyu Long; Wenya Wang 001; Sinno Jialin Pan (EMNLP, 2023)

Deep Multitask Learning with Progressive Parameter Sharing. - Haosen Shi 003; Shen Ren; Tianwei Zhang 004; Sinno Jialin Pan (ICCV, 2023)

Distribution-Regularized Federated Learning on Non-IID Data. - Yansheng Wang; Yongxin Tong; Zimu Zhou; Ruisheng Zhang; Sinno Jialin Pan; Lixin Fan; Qiang Yang 001 (ICDE, 2023)

Pruning via Sparsity-indexed ODE: a Continuous Sparsity Viewpoint. - Zhanfeng Mo; Haosen Shi 003; Sinno Jialin Pan (ICML, 2023)

Trustworthy Machine Learning: Robustness, Generalization, and Interpretability. - Jindong Wang 001; Haoliang Li; Haohan Wang; Sinno Jialin Pan; Xing Xie 001 (KDD, 2023)

Retaining Beneficial Information from Detrimental Data for Neural Network Repair. - Long-Kai Huang; Peilin Zhao; Junzhou Huang; Sinno Jialin Pan (NeurIPS, 2023)

A Tutorial on Domain Generalization. - Jindong Wang 001; Haoliang Li; Sinno Jialin Pan; Xing Xie 001 (WSDM, 2023)

Clustered Task-Aware Meta-Learning by Learning From Learning Paths. - Danni Peng; Sinno Jialin Pan (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

A Diffusion Model with State Estimation for Degradation-Blind Inverse Imaging. - Liya Ji; Zhefan Rao; Sinno Jialin Pan; Chenyang Lei; Qifeng Chen (AAAI, 2024)

Convergence Analysis of Inexact Over-relaxed ADMM via Dissipativity Theory. - Qiang Zhou; Sinno Jialin Pan (ACML, 2024)

Multilingual Jailbreak Challenges in Large Language Models. - Yue Deng 010; Wenxuan Zhang 001; Sinno Jialin Pan; Lidong Bing (ICLR, 2024)

Learning Adaptive Multiresolution Transforms via Meta-Framelet-based Graph Convolutional Network. - Tianze Luo; Zhanfeng Mo; Sinno Jialin Pan (ICLR, 2024)

Improving the Generalization of Unseen Crowd Behaviors for Reinforcement Learning based Local Motion Planners. - Wen Zheng Terence Ng; Jianda Chen; Sinno Jialin Pan; Tianwei Zhang 004 (ICRA, 2024)

Sentiment Analysis in the Era of Large Language Models: A Reality Check. - Wenxuan Zhang 001; Yue Deng 010; Bing Liu 001; Sinno Jialin Pan; Lidong Bing (NAACL-HLT (Findings), 2024)

State Chrono Representation for Enhancing Generalization in Reinforcement Learning. - Jianda Chen; Wen Zheng Terence Ng; Zichen Chen; Sinno Jialin Pan; Tianwei Zhang 004 (NeurIPS, 2024)

Graph Principal Flow Network for Conditional Graph Generation. - Zhanfeng Mo; Tianze Luo; Sinno Jialin Pan (WWW, 2024)

Backdoor Attacks on Dense Passage Retrievers for Disseminating Misinformation. - Quanyu Long; Yue Deng 010; Leilei Gan; Wenya Wang 001; Sinno Jialin Pan (CoRR, 2024)

Decomposing Label Space, Format and Discrimination: Rethinking How LLMs Respond and Solve Tasks via In-Context Learning. - Quanyu Long; Yin Wu; Wenya Wang 001; Sinno Jialin Pan (CoRR, 2024)

Large Language Models Know What Makes Exemplary Contexts. - Quanyu Long; Jianda Chen; Wenya Wang 001; Sinno Jialin Pan (CoRR, 2024)

FuseGPT: Learnable Layers Fusion of Generative Pre-trained Transformers. - Zehua Pei; Hui-Ling Zhen; Xianzhi Yu; Sinno Jialin Pan; Mingxuan Yuan; Bei Yu 001 (CoRR, 2024)

Overcoming Negative Transfer by Online Selection: Distant Domain Adaptation for Fault Diagnosis. - Ziyan Wang; Mohamed Ragab 002; Wenmian Yang; Min Wu 008; Sinno Jialin Pan; Jie Zhang 002; Zhenghua Chen (IEEE Trans. Instrum. Meas., 2024)

Fast Graph Generation via Spectral Diffusion. - Tianze Luo; Zhanfeng Mo; Sinno Jialin Pan (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Collaborative Sequential Recommendations via Multi-view GNN-transformers. - Tianze Luo; Yong Liu 020; Sinno Jialin Pan (ACM Trans. Inf. Syst., 2024)

Reinforcing Compositional Retrieval: Retrieving Step-by-Step for Composing Informative Contexts. - Quanyu Long; Jianda Chen; Zhengyuan Liu; Nancy F. Chen; Wenya Wang 001; Sinno Jialin Pan (ACL (Findings), 2025)

Probabilistic Neural Pruning via Sparsity Evolutionary Fokker-Planck-Kolmogorov Equation. - Zhanfeng Mo; Haosen Shi 003; Sinno Jialin Pan (ICLR, 2025)

Parameter and Memory Efficient Pretraining via Low-rank Riemannian Optimization. - Zhanfeng Mo; Long-Kai Huang; Sinno Jialin Pan (ICLR, 2025)

CMoE: Fast Carving of Mixture-of-Experts for Efficient LLM Inference. - Zehua Pei; Lancheng Zou; Hui-Ling Zhen; Xianzhi Yu; Wulong Liu; Sinno Jialin Pan; Mingxuan Yuan; Bei Yu 001 (CoRR, 2025)

KVTuner: Sensitivity-Aware Layer-wise Mixed Precision KV Cache Quantization for Efficient and Nearly Lossless LLM Inference. - Xing Li; Zeyu Xing 002; Yiming Li; Linping Qu; Hui-Ling Zhen; Wulong Liu; Yiwu Yao; Sinno Jialin Pan; Mingxuan Yuan (CoRR, 2025)

PreMoe: Lightening MoEs on Constrained Memory by Expert Pruning and Retrieval. - Zehua Pei; Yingchun Zhang; Hui-Ling Zhen; Xianzhi Yu; Wulong Liu; Sinno Jialin Pan; Mingxuan Yuan; Bei Yu 001 (CoRR, 2025)

A Virtual-Label-Based Hierarchical Domain Adaptation Method for Time-Series Classification. - Wenmian Yang; Lizhi Cheng; Mohamed Ragab 002; Min Wu 008; Sinno Jialin Pan; Zhenghua Chen (IEEE Trans. Neural Networks Learn. Syst., 2025)